Geoinformatics
Online ISSN : 1347-541X
Print ISSN : 0388-502X
ISSN-L : 0388-502X
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Volume 32, Issue 4
Displaying 1-6 of 6 articles from this issue
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Cover (GEOINFORMATICS 2021 Vol32. No.4)
CONTENTS
Research Note
  • Digital Twin Technology Accelerating in Mining Industry
    Youhei KAWAMURA, Hajime IKEDA, Hisatoshi TORIYA
    2021 Volume 32 Issue 4 Pages 107-112
    Published: December 25, 2021
    Released on J-STAGE: December 25, 2021
    DOIhttps://doi.org/10.6010/geoinformatics.32.4_107
    JOURNAL FREE ACCESS
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    The concept of digital twins has started attracting attention due to the expansion of the Internet of Things (IoT) and the development of augmented reality (AR) and virtual reality (VR). Similar to the digital twins of other industries, the digital twin for mining is virtual representations of the physical world and are stored in a typical structure on the cloud data platform. However, a digital twin is different from general models and simulations. The concept of reproducing and simulating an entity in a digital space using real-world data is not novel. However, the difference between a digital twin and general simulations is that changes in the real world can be reproduced in the digital space and are linked to each other in real time. With the expansion of IoT, real-world data is being automatically collected in real time and immediately reflected in digital spaces through networks. Thus, the similarity between real-world objects and digitalspace models can be maintained. From this perspective, a digital twin is considered to be a "dynamic" virtual model in the real world. Digital twin technology for mining can enable mine modelling for various purposes.

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Contents of Geoinformatics Vol. 32
Manuscript Submission Form, Guaranty, Membership Application Form, Editorial note
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